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Record W2974525672 · doi:10.1681/asn.2019030218

Genome-Wide Association Study of Diabetic Kidney Disease Highlights Biology Involved in Glomerular Basement Membrane Collagen

2019· article· en· W2974525672 on OpenAlexaff
Rany M. Salem, Jennifer N. Todd, Niina Sandholm, Joanne B. Cole, Wei‐Min Chen, Darrell Andrews, Marcus G. Pezzolesi, Paul McKeigue, Linda T. Hiraki, Chengxiang Qiu, Viji Nair, Chen Di Liao, Jing Cao, Erkka Valo, Suna Önengüt-Gümüşcü, Adam M. Smiles, Stuart J. McGurnaghan, Jani K. Haukka, Valma Harjutsalo, Eoin Brennan, Natalie R. van Zuydam, Emma Ahlqvist, Ross Doyle, Tarunveer S. Ahluwalia, Maria Lajer, Maria Hughes, Jihwan Park, Jan Skupień, Athina Spiliopoulou, Andy Liu, Rajasree Menon, Carine M. Boustany‐Kari, Hyun Mi Kang, Robert G. Nelson, Ronald Klein, Kristine E. Lee, Xiaoyu Gao, Michael Mauer, Silvia Maestroni, Maria Luiza Caramori, Ian H. de Boer, Rachel G. Miller, Jingchuan Guo, Andrew P. Boright, David‐Alexandre Trégouët, Beata Gyorgy, Janet K. Snell‐Bergeon, David M. Maahs, Shelley B. Bull, Angelo J. Canty, Lars Stechemesser, Bernhard Paulweber, Raimund Weitgasser, Jeļizaveta Sokolovska, Vita Rovīte, Valdis Pīrāgs, Edita Prakapienė, Lina Radzevičienė, Rasa Verkauskienė, Nicolae Mircea Panduru, Mark I. McCarthy, Harvest F. Gu, Anna Möllsten, Henrik Falhammar, Kerstin Brismar, Finian Martin, Peter Rossing, Tina Costacou, Gianpaolo Zerbini, Michel Marre, Samy Hadjadj, Amy Jayne McKnight, Carol Forsblom, Gareth J. McKay, Catherine Godson, Alexander P. Maxwell, Matthias Kretzler, Katalin Suszták, Helen M. Colhoun, Andrzej S. Królewski, Andrew D. Paterson, Per‐Henrik Groop, Stephen S. Rich, Joel N. Hirschhorn, José C. Florez

Bibliographic record

VenueJournal of the American Society of Nephrology · 2019
Typearticle
Languageen
FieldMedicine
TopicChronic Kidney Disease and Diabetes
Canadian institutionsLunenfeld-Tanenbaum Research InstituteHospital for Sick ChildrenMcMaster UniversityUniversity of TorontoInstitute of Population and Public Health
FundersNational Institute of Mental HealthMedical Research CouncilNational Institutes of HealthServierNational Eye InstituteAcademy of FinlandSamfundet FolkhälsanNovo Nordisk FondenPublic Health AgencyNovo NordiskNational Institute for Health and Care ResearchSteno Diabetes Center CopenhagenWellcome TrustEuropean Foundation for the Study of DiabetesScience Foundation IrelandBristol-Myers SquibbEli Lilly and CompanyAstraZenecaFolkhälsanin TutkimussäätiöVetenskapsrådetAstellas PharmaLietuvos Sveikatos Mokslų UniversitetasWilhelm och Else Stockmanns StiftelseNational Heart, Lung, and Blood InstituteHelsingin ja Uudenmaan SairaanhoitopiiriUniversity of DundeeNational Institute of Diabetes and Digestive and Kidney DiseasesWellcomeSanofiPfizer
KeywordsGlomerular basement membraneBasement membraneKidney diseaseDiseaseMedicineGenome-wide association studyInternal medicineKidneyBiologyPathologyEndocrinologyGeneticsGlomerulonephritisGeneGenotype

Abstract

fetched live from OpenAlex

Significance Statement Although studies show that diabetic kidney disease has a heritable component, searches for the genetic determinants of this complication of diabetes have had limited success. In this study, a new international genomics consortium, the JDRF funded Diabetic Nephropathy Collaborative Research Initiative, assembled nearly 20,000 samples from participants with type 1 diabetes, with and without kidney disease. The authors found 16 new diabetic kidney disease–associated loci at genome-wide significance. The strongest signal centers on a protective missense coding variant at COL4A3 , a gene that encodes a component of the glomerular basement membrane that, when mutated, causes the progressive inherited nephropathy Alport syndrome. These GWAS-identified risk loci may provide insights into the pathogenesis of diabetic kidney disease and help identify potential biologic targets for prevention and treatment. Background Although diabetic kidney disease demonstrates both familial clustering and single nucleotide polymorphism heritability, the specific genetic factors influencing risk remain largely unknown. Methods To identify genetic variants predisposing to diabetic kidney disease, we performed genome-wide association study (GWAS) analyses. Through collaboration with the Diabetes Nephropathy Collaborative Research Initiative, we assembled a large collection of type 1 diabetes cohorts with harmonized diabetic kidney disease phenotypes. We used a spectrum of ten diabetic kidney disease definitions based on albuminuria and renal function. Results Our GWAS meta-analysis included association results for up to 19,406 individuals of European descent with type 1 diabetes. We identified 16 genome-wide significant risk loci. The variant with the strongest association (rs55703767) is a common missense mutation in the collagen type IV alpha 3 chain ( COL4A3) gene, which encodes a major structural component of the glomerular basement membrane (GBM). Mutations in COL4A3 are implicated in heritable nephropathies, including the progressive inherited nephropathy Alport syndrome. The rs55703767 minor allele (Asp326Tyr) is protective against several definitions of diabetic kidney disease, including albuminuria and ESKD, and demonstrated a significant association with GBM width; protective allele carriers had thinner GBM before any signs of kidney disease, and its effect was dependent on glycemia. Three other loci are in or near genes with known or suggestive involvement in this condition ( BMP7) or renal biology ( COLEC11 and DDR1 ). Conclusions The 16 diabetic kidney disease–associated loci may provide novel insights into the pathogenesis of this condition and help identify potential biologic targets for prevention and treatment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.121
Threshold uncertainty score0.460

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.252
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations215
Published2019
Admission routes1
Has abstractyes

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Same venueJournal of the American Society of NephrologySame topicChronic Kidney Disease and DiabetesFrench-language works237,207